- Machine Learning for TensorFlow: A Comprehensive Guide to Deep Learning and AI Development
- Machine Learning for PyTorch: A Hands-On Guide to Building Scalable and Flexible AI Models with Ease
- Machine Learning for JAX: Building Scalable, Fast, and Flexible AI Models for the Future of Computing
- CrewAI Frameworks: Design and Deploy Advanced Multi-Agent AI Systems to Automate Complex Processes and Transform Workflows
- Mastering Quantum Neural Networks: Learn to Build, Train, and Apply Hybrid Quantum–Classical Models with Qiskit, PennyLane, and TensorFlow Quantum






